Deming Zhai

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 52

Top Topics

Image Denoising

Dictionary Learning

Top Venues

IEEE Trans. Image Process.

Publications

Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Mesh Denoising Transformer. CoRR (2024)
Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR (2024)
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR (2024)
Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji
Overhead-free Noise-tolerant Federated Learning: A New Baseline. Mach. Intell. Res. 21 (3) (2024)
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR (2024)
Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu
Super-Resolving Face Image by Facial Parsing Information. IEEE Trans. Biom. Behav. Identity Sci. 5 (4) (2023)
Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. IEEE Trans. Image Process. 32 (2023)
Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME (2023)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu
Super-Resolving Face Image by Facial Parsing Information. CoRR (2023)
Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
On the Dynamics Under the Unhinged Loss and Beyond. CoRR (2023)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR (2023)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR (2022)
Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML (2022)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR (2022)
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18 (2) (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Learning Towards The Largest Margins. ICLR (2022)
Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia (2022)
Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18 (1s) (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Prototype-Anchored Learning for Learning with Imperfect Annotations. CoRR (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Learning Towards the Largest Margins. CoRR (2022)
Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia (2021)
Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
Learning with Noisy Labels via Sparse Regularization. CoRR (2021)
Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
Learning with Noisy Labels via Sparse Regularization. ICCV (2021)
Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP (2020)
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP (2020)
Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. 30 (2) (2020)
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR (2020)
Xianming Liu, Deming Zhai, Yuanchao Bai, Xiangyang Ji, Wen Gao
Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. IEEE Trans. Circuits Syst. Video Technol. 30 (8) (2020)
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
Unsupervised Constrative Person Re-identification. CoRR (2020)
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR (2020)
Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. CoRR (2020)
Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP (2020)
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia (2020)
Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. IEEE Trans. Image Process. 28 (4) (2019)
He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. IFTC (2019)
Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao
Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. IEEE Trans. Image Process. 28 (3) (2019)
Jiliang Yan, Deming Zhai, Yi Niu, Xianming Liu, Junjun Jiang
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. IFTC (2019)
Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Wen Gao
Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. IEEE Trans. Ind. Electron. 66 (12) (2019)
Yang Li, Yang Liu, GuoJun Liu, Deming Zhai, Maozu Guo
Weakly supervised semantic segmentation based on EM algorithm with localization clues. Neurocomputing 275 (2018)
Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao
Parametric local multiview hamming distance metric learning. Pattern Recognit. 75 (2018)
Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao
Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. MMSP (2018)
Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu
Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. ISCAS (2018)
Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM (1) (2018)
Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao
Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. ICIP (2018)
Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Shin'ichi Satoh, Wen Gao
Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 20 (3) (2018)
Deming Zhai, Xianming Lu, Xiangyang Ji, Yuanchao Bai, Debin Zhao, Wen Gao
Robust Contrast Enhancement via Graph-Based Cartoon-Texture Decomposition. ICME (2018)
Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao
Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. IEEE Trans. Image Process. 26 (2) (2017)
Rong Chen, Xianming Liu, Deming Zhai, Debin Zhao
Depth Image Denoising via Collaborative Graph Fourier Transform. IFTC (2017)
Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao
Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication. IEEE Trans. Image Process. 25 (6) (2016)
Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao
Instance-specific canonical correlation analysis. Neurocomputing 155 (2015)
Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao
Sparsity-based joint gaze correction and face beautification for conferencing video. VCIP (2015)
Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito
Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. ICIP (2014)
Xianming Liu, Deming Zhai, Debin Zhao, Guangtao Zhai, Wen Gao
Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. IEEE Trans. Image Process. 23 (4) (2014)
Deming Zhai, Hong Chang, Xilin Chen, Wen Gao
Instance-specific canonical correlation analysis for pose alignment. ICIP (2013)
Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao
Parametric Local Multimodal Hashing for Cross-View Similarity Search. IJCAI (2013)
Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao
Progressive Image Restoration through Hybrid Graph Laplacian Regularization. DCC (2013)
Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao
Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. DCC (2013)
Deming Zhai, Xianming Liu, Jiantao Zhou, Debin Zhao, Wen Gao
Spatial error concealment via model based coupled sparse representation. ICME Workshops (2013)
Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao
Multiview Metric Learning with Global Consistency and Local Smoothness. ACM Trans. Intell. Syst. Technol. 3 (3) (2012)
Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao
Web image interpolation via weighted total least squares regression. ICASSP (2012)
Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao
Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. DCC (2012)
Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao
Side information extrapolation with temporal and spatial consistency. ISCAS (2011)
Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao
Manifold Alignment via Corresponding Projections. BMVC (2010)
Deming Zhai, Hong Chang, Bo Li, Shiguang Shan, Xilin Chen, Wen Gao
Semi-Supervised Discriminant Analysis via Spectral Transduction. BMVC (2009)